Just-in-Time manufacturing
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| Just-in-Time manufacturing | |
|---|---|
| Name | Just-in-Time manufacturing |
| Inventor | Taiichi Ohno |
| Origin | Toyota Motor Corporation |
| Introduced | 1970s |
| Industries | Automotive industry, Electronics industry, Aerospace industry, Apparel industry |
Just-in-Time manufacturing is a production strategy developed to reduce inventory levels, shorten lead times, and increase efficiency by producing only what is needed, when it is needed. Originating within Toyota Motor Corporation under the leadership of Taiichi Ohno and influenced by thinkers such as Henry Ford and Eiji Toyoda, the approach reshaped industrial practices across regions including Japan, United States, Germany, and United Kingdom. It spread through interactions among firms like Nissan Motor Company, Daimler AG, General Motors, Ford Motor Company, and consulting organizations such as McKinsey & Company and Boston Consulting Group.
History
Just-in-Time emerged from postwar developments in manufacturing at Toyota Motor Corporation and the Toyota Production System in the 1950s and 1960s, guided by figures like Taiichi Ohno and Shigeo Shingo. Early antecedents include methods from Ford Motor Company during the Assembly line era and influences from scholars associated with Harvard Business School and Massachusetts Institute of Technology. The methodology diffused globally through adoption by multinational corporations including Nissan Motor Company, General Motors, Volkswagen Group, Honda Motor Company, BMW, Daimler AG, and Fiat S.p.A., and through publication by academics linked to Stanford University and Carnegie Mellon University. Key historical events such as the 1973 Oil crisis (1973) and the 1997 Asian financial crisis accelerated adoption as firms sought cost reductions, while shocks like the 2011 Tōhoku earthquake and tsunami and the 2020 COVID-19 pandemic revealed vulnerabilities in lean inventories, prompting reevaluations by governments including those of Japan, United States, China, and Germany.
Principles and Key Concepts
Central concepts trace to the Toyota Production System and include continuous flow, pull systems, takt time, and waste reduction, with practitioners referencing tools from Shigeo Shingo and design principles echoed in works at Massachusetts Institute of Technology. The strategy emphasizes reduction of muda, mura, and muri, relying on kanban pull signals, heijunka leveling, and jidoka automation ideas. Quality frameworks from W. Edwards Deming and Joseph M. Juran intersect with the approach, as do statistical process control methods developed at Bell Labs and taught at University of Michigan. Supply network philosophies practiced by firms such as Procter & Gamble, Unilever, Samsung Electronics, and Intel Corporation integrate these concepts with procurement strategies used by Walmart and Amazon (company).
Implementation and Practices
Implementation involves cross-functional coordination between procurement, production, and logistics teams in corporations like 3M, Siemens, Boeing, and Airbus. Techniques include kanban cards, just-in-sequence deliveries used by BMW, cell manufacturing practiced at Tesla, Inc., and vendor-managed inventory agreements with suppliers such as Denso Corporation and Magna International. Information systems from SAP SE, Oracle Corporation, Microsoft Corporation, and IBM support real-time data flows, while standards from ISO bodies and methodologies taught at Kellogg School of Management and INSEAD guide process audits. Contractual forms such as long-term partnerships between OEMs and Tier 1 suppliers like Aisin Seiki are common, as are logistics arrangements with carriers including DHL, FedEx, and Maersk.
Benefits and Limitations
Adoption produced cost reductions for firms like Toyota Motor Corporation, Honda Motor Company, Nissan Motor Company, and Sony Corporation, improving metrics measured by capital analysts at Goldman Sachs and J.P. Morgan Chase. Benefits include lower inventory carrying costs, shorter cycle times, and higher responsiveness, affecting competitors including Ford Motor Company, General Motors, Renault, and Peugeot. Limitations surfaced in disruptions experienced by supply chains during events involving Hurricane Katrina, the 2011 Tōhoku earthquake and tsunami, and the 2020 COVID-19 pandemic, prompting interest from policy makers in European Commission and agencies like the U.S. Department of Commerce in resilience measures. Trade tensions involving United States and China and geopolitical events such as the Russia–Ukraine conflict further exposed reliance risks.
Impact on Supply Chains and Industry
Just-in-Time reshaped procurement, distribution, and manufacturing strategies across sectors represented by SAP SE deployments and logistics networks run by DHL and Kuehne + Nagel. Automotive supply chains linking Toyota Motor Corporation, Nissan Motor Company, Magna International, and Aisin Seiki exemplify tightly coupled networks. Electronics firms such as Intel Corporation, Samsung Electronics, Taiwan Semiconductor Manufacturing Company, and Sony Corporation optimized inventory but faced capacity constraints during demand spikes, raising strategic debates in forums like World Economic Forum and Organisation for Economic Co-operation and Development. Trade agreements including the North American Free Trade Agreement and institutions like the World Trade Organization influenced component flows supporting JIT systems.
Variants and Related Methodologies
Variants and complements include lean manufacturing, Six Sigma as practiced at Motorola, Total Quality Management advocated by W. Edwards Deming, and Theory of Constraints from Eliyahu M. Goldratt. Related frameworks implemented at firms such as Procter & Gamble, 3M, Siemens, and Boeing include continuous improvement (kaizen), just-in-sequence logistics used by BMW and Daimler AG, and agile manufacturing promoted in sectors served by Accenture and McKinsey & Company. Digital transformations employing technologies from Siemens, GE Aviation, IBM, Microsoft Corporation, and Amazon Web Services blend JIT principles with Industry 4.0 initiatives.
Criticisms and Risks
Critiques from scholars at London School of Economics, Massachusetts Institute of Technology, and University of Oxford highlight fragility to supply shocks, reduced buffer capacity, and social impacts on labor markets represented by unions like United Auto Workers and Unite the Union. Risk management responses from firms and regulators including European Central Bank and Bank of Japan recommend supply diversification, strategic stockpiles used in United States defense logistics, and stress testing by audit firms such as Ernst & Young and PricewaterhouseCoopers. Debates continue in venues like Harvard Business Review and conferences hosted by Society of Manufacturing Engineers.